Band-pass filtering of the time sequences of spectral parameters for robust wireless speech recognition

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Mostrar el registro sencillo del ítem Vicente-Peña, Jesús Gallardo-Antolín, Ascensión Peláez-Moreno, Carmen Díaz-de-María, Fernando 2008-03-14T13:09:10Z 2008-03-14T13:09:10Z 2006
dc.identifier.bibliographicCitation Speech Communication. Vol. 48, No. 10, Octubre 2006, pp. 1379--1398
dc.identifier.issn 0167-6393
dc.description.abstract In this paper we address the problem of automatic speech recognition when wireless speech communication systems are involved. In this context, three main sources of distortion should be considered: acoustic environment, speech coding and transmission errors. Whilst the first one has already received a lot of attention, the last two deserve further investigation in our opinion. We have found out that band-pass filtering of the recognition features improves ASR performance when distortions due to these particular communication systems are present. Furthermore, we have evaluated two alternative configurations at different bit error rates (BER) typical of these channels: band-pass filtering the LP-MFCC parameters or a modification of the RASTA-PLP using a sharper low-pass section perform consistently better than LP-MFCC and RASTA-PLP, respectively.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.language.iso eng
dc.publisher European Association for Signal Processing (EURASIP) : International Speech Communication Association (ISCA)
dc.publisher Elsevier
dc.rights © Elsevier
dc.subject.other Robust speech recognition
dc.subject.other Wireless speech recognition
dc.subject.other Transmission errors
dc.subject.other Modulation spectrum
dc.subject.other RASTA-PLP
dc.title Band-pass filtering of the time sequences of spectral parameters for robust wireless speech recognition
dc.type article PeerReviewed
dc.description.status Publicado
dc.subject.eciencia Telecomunicaciones
dc.identifier.doi 10.1016/j.specom.2006.07.007
dc.rights.accessRights openAccess
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